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Paper Citation Record · LEDGER

Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection

As of 23 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2604.13899.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2604.13899 v4

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T20:35:52.598345Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved13
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 55119782-fbb5-4cab-b60e-9015b9622c7d · outbound

This paper cites InThe 7th Workshop on Online Abuse and Harms (WOAH), pages 231–242, Toronto, Canada.

Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection InThe 7th Workshop on Online Abuse and Harms (WOAH), pages 231–242, Toronto, Canada

Reference 1

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unresolved
no resolver link, observed 2026-07-12T20:35:52.598345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:35:52.598345Z digest=sha256:278b307e4c0a4b2c13327c75459aed3a7c645a73e009182a342e4f382f1d5d94

Observation c48184ac-2aa5-4eaa-a2b4-3da0037dc105 · outbound

This paper cites A Dataset for the Detection of Dehumanizing Language.

Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection A Dataset for the Detection of Dehumanizing Language

Reference 2

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unresolved
no resolver link, observed 2026-07-12T20:35:52.598345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:35:52.598345Z digest=sha256:98047d641be39ab7991b212fd0c1b7e0f661d9f310af6baa178e96895575c686

Observation e8d28e4c-aec6-4ab8-b731-2dfdf5b0ffd7 · outbound

This paper cites InProceedings of The 18th Linguistic Annotation Workshop (LAW-XVIII), pages 77–86.

Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection InProceedings of The 18th Linguistic Annotation Workshop (LAW-XVIII), pages 77–86

Reference 3

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unresolved
no resolver link, observed 2026-07-12T20:35:52.598345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:35:52.598345Z digest=sha256:6ab6cc7b3ce17331b84a9123e133b6153f11f507f72fe7dd3262bf5b1dcd36c6

Observation b334861a-a304-4f52-9aaa-a64585f64e68 · outbound

This paper cites Paula Fortuna and Sérgio Nunes.

Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection Paula Fortuna and Sérgio Nunes

Reference 4

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unresolved
no resolver link, observed 2026-07-12T20:35:52.598345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:35:52.598345Z digest=sha256:0a5a4a670afdffa26fb97f5be4dc335830943003cf5d2a59effea9460e7a04c5

Observation cfc0df83-aab3-43b8-861d-d3db85060f38 · outbound

This paper cites ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks.

Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

Reference 5

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no resolver link, observed 2026-07-12T20:35:52.598345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:35:52.598345Z digest=sha256:3dda7601fc3a051070f0e09bf9d60897882480bfb92caaa619779234b0b7cc48

Observation 9db61bbe-3d49-42f1-abda-d588f9268a15 · outbound

This paper cites InMachine Learning and Knowledge Discovery in Databases.

Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection InMachine Learning and Knowledge Discovery in Databases

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-12T20:35:52.598345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:35:52.598345Z digest=sha256:6b868a1fc228b7afebf484c7bb2896c444a2d1bcbce51ba5b9c3554dbf6209d7

Observation ce016c17-7324-4138-b982-c9b6f3d5b5f1 · outbound

This paper cites Aida Kostikova, Dominik Beese, Benjamin Paassen, Ole Pütz, Gregor Wiedemann, and Steffen Eger.

Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection Aida Kostikova, Dominik Beese, Benjamin Paassen, Ole Pütz, Gregor Wiedemann, and Steffen Eger

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-12T20:35:52.598345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:35:52.598345Z digest=sha256:1b0582eee9b088f7d74c68dfab4a48bb05d0e5eaee90ccf1e2cd5fc2e8b3faf3

Observation 30f5c490-353b-4833-91fa-027b8c27a75e · outbound

This paper cites Sarah Masud, Sahajpreet Singh, Viktor Hangya, Alexan- der Fraser, and Tanmoy Chakraborty.

Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection Sarah Masud, Sahajpreet Singh, Viktor Hangya, Alexan- der Fraser, and Tanmoy Chakraborty

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-12T20:35:52.598345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:35:52.598345Z digest=sha256:025b43c3fddf2cfbe66a5b1b0c1fad0403a9758a08c0035b79526422be6dda1c

Observation 6cd86732-cf4b-4ac6-872b-c79084c57c03 · outbound

This paper cites Automated Annotation with Generative AI Requires Validation.

Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection Automated Annotation with Generative AI Requires Validation

Reference 9

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unresolved
no resolver link, observed 2026-07-12T20:35:52.598345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:35:52.598345Z digest=sha256:f0abe060c63f87d158b40a0be7c859851b6f49ce9468237011348213f85783e0

Observation 081b76f7-ac3b-4e65-bd96-fc7b37a14efa · outbound

This paper cites InProceedings of the Eigh- teenth International AAAI Conference on Web and Social Media, ICWSM 2024, Buffalo, New York, USA, June 3-6, 2024, pages 2025–2039.

Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection InProceedings of the Eigh- teenth International AAAI Conference on Web and Social Media, ICWSM 2024, Buffalo, New York, USA, June 3-6, 2024, pages 2025–2039

Reference 10

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unresolved
no resolver link, observed 2026-07-12T20:35:52.598345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:35:52.598345Z digest=sha256:48a7c509d5772bbde5f191bf78f78a69bd45a397a8a2c0f49c4d5c0a99b86a04

Observation e164294d-9c1c-4516-ae3d-6e3468c3de72 · outbound

This paper cites Measuring the Reliability of Hate Speech Annotations: The Case of the European Refugee Crisis.

Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection Measuring the Reliability of Hate Speech Annotations: The Case of the European Refugee Crisis

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-12T20:35:52.598345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:35:52.598345Z digest=sha256:3a6742d57e36181e5623c7c7de8cc62300a8ac4d63d0ebc0d619f07826e387bf

Observation 2a7627a6-aaba-449b-abf0-de7b835479c4 · outbound

This paper cites The Llama 3 Herd of Models.

Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection The Llama 3 Herd of Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-12T20:35:52.598345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:35:52.598345Z digest=sha256:1c96a2de13d1ecbdce1c4a158bf7737d27539effa42fab02635d63c47b60db85

Observation 53cd01dd-db5a-4c0f-b45b-02fc47ad1416 · outbound

This paper cites Is this comment anti-immigrant:YES/NO?.

Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection Is this comment anti-immigrant:YES/NO?

Reference 13

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unresolved
no resolver link, observed 2026-07-12T20:35:52.598345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:35:52.598345Z digest=sha256:42a81b57467754a9e5797d7dc3a43b7233c51027207c3b619e821d3b1ace5ec4

Observation dd98931c-0b39-436f-9fdc-42cb70848e7c · outbound

This paper cites wann kommen die Grenzkontrollen?.

Do We Still Need Humans in the Loop? Comparing Human and LLM Annotation in Active Learning for Hostility Detection wann kommen die Grenzkontrollen?

Reference 14

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malformed identifier
no resolver link, observed 2026-07-12T20:35:52.598345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:35:52.598345Z digest=sha256:652091a155fbff1e4645e5dcde87fdf9ca1b82d52ebe9e4128d281e90549b779

Pith citing papers

No inbound Pith citation observations are available.